miraQA: experiments with learning answer context patterns from the web

Authors:
César de Pablo-Sánchez;José Luis Martínez-Fernández;Paloma Martínez;Julio Villena
Affiliations:
Advanced Databases Group, Computer Science Department, Universidad Carlos III de Madrid, Leganés , Madrid, Spain;Advanced Databases Group, Computer Science Department, Universidad Carlos III de Madrid, Leganés , Madrid, Spain;Advanced Databases Group, Computer Science Department, Universidad Carlos III de Madrid, Leganés , Madrid, Spain;Centro de Empresas “La Arboleda”, DAEDALUS – Data, Decisions and Language S.A., Madrid, Spain
Venue:
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Year:
2004

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Abstract

We present the miraQA system which is MIRACLE's first experience in Question Answering for monolingual Spanish. The general architecture of the system developed for QA@CLEF 2004 is presented as well as evaluation results. miraQA characterizes by learning the rules for answer extraction from the Web using a Hidden Markov Model of the context in which answers appear. We used a supervised approach that uses questions and answers from last years evaluation set for training.